feynmanma7

UTM

Virtual machines for iOS and macOS

spinningup

An educational resource to help anyone learn deep reinforcement learning.

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Conference-Accepted-Paper-List

Some Conferences' accepted paper lists (including AI, ML, Robotic)

MIMN

ResnetGPT

用Resnet101+GPT搭建一个玩王者荣耀的AI

GNNPapers

Must-read papers on graph neural networks (GNN)

awesome-mlops

A curated list of references for MLOps

Awesome-Best-Papers

Collect awesome best papers from top AI conferences.

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

tensorflow

An Open Source Machine Learning Framework for Everyone

models

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

deep_ctr

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

marp-vscode

Marp for VS Code: Create slide deck written in Marp Markdown on VS Code

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Ad-papers

Papers on Computational Advertising

numpy-ml

Machine learning, in numpy

chainer

A flexible framework of neural networks for deep learning

pymc

Bayesian Modeling and Probabilistic Programming in Python

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

RSPapers

A Curated List of Must-read Papers on Recommender System.